Treatment of heart failure with sodium glucose co‐transporter‐2 inhibitors in people with type 2 diabetes mellitus: current evidence and future directions
Bibliographic record
Abstract
Diabetes is one the most common comorbidities among people with established heart failure. Interest in heart failure as an outcome among people with diabetes has emerged since it was shown that there was an association between increased risk of hospitalization for heart failure with use of thiazolidinediones and some dipeptidyl peptidase-4 inhibitors. Recently, sodium-glucose co-transporter-2 inhibitors were shown to lead to a reduction in the risk of cardiovascular death and hospitalization for heart failure in people with Type 2 diabetes mellitus and either cardiovascular risk factors or atherosclerotic cardiovascular disease. These findings appear to be consistent in people both with and without a baseline history of heart failure. Based on current evidence there are several clinical scenarios in which the use of sodium-glucose co-transporter-2 inhibitors would be justified for people with heart failure and atherosclerotic cardiovascular disease: (1) in people with a new diagnosis of Type 2 diabetes and for whom anti-hyperglycaemic management strategies are being considered; (2) in people with sub-optimal glycaemic control, regardless of baseline antihyperglycaemic therapy; and (3) in people with symptomatic heart failure (or other high-risk features such as recent hospitalization for heart failure), if glycaemic control is optimized and the individual is on a sulfonylurea or dipeptidyl peptidase-4 inhibitor; here, it may be reasonable to consider substituting one of those therapies for a sodium-glucose co-transporter-2 inhibitor. There are now a number of ongoing trials evaluating the role of sodium-glucose co-transporter-2 inhibitors as therapy for people with established heart failure (with preserved or with reduced ejection fraction) and regardless of the presence of diabetes. These trials will provide the evidence for the safety and efficacy of sodium-glucose co-transporter-2 inhibitors among people with established heart failure.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".